N
Nicholas Ayache
Researcher at French Institute for Research in Computer Science and Automation
Publications - 639
Citations - 47063
Nicholas Ayache is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Segmentation & Image registration. The author has an hindex of 97, co-authored 624 publications receiving 43140 citations. Previous affiliations of Nicholas Ayache include University of Las Palmas de Gran Canaria & Mauna Kea Technologies.
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Journal ArticleDOI
3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation
TL;DR: A method based on deep learning to perform cardiac segmentation on short axis Magnetic resonance imaging stacks iteratively from the top slice to the bottom slice iteratively using a novel variant of the U-net.
Journal ArticleDOI
Smoothing and matching of 3-D space curves
André Guéziec,Nicholas Ayache +1 more
TL;DR: This work builds upon the seminal work of Kishon et al. (1990), where curves are first smoothed using B-splines, with matching based on hashing using curvature and torsion measures, but introduces two enhancements that allow a more accurate estimation of position, curvature, torsions, and Frénet frames along the curve.
Proceedings ArticleDOI
Building visual maps by combining noisy stereo measurements
TL;DR: The idea of a Realistic Uncertain Description of the Environment (RUDE) which is local, i.e attached to a specific reference frame, and incorporates both, information about the geometry and about the parameters measuring this geometry is introduced.
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Deformable biomechanical models: application to 4D cardiac image analysis.
TL;DR: A generic volumetric biomechanical model from different image modalities and segmenting time series of medical images using this model can play an important role in the extraction of useful quantitative local parameters of cardiac function.
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Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations – Application to the registration of histological slices
TL;DR: A novel kind of geometrical transformations, named polyrigid and polyaffine, efficiently code for locally rigid or affine deformations with a small number of intuitive parameters, which are smooth with respect to their parameters.